{"uid":"cap_Zen_ChkP3tgLuW583sukB","slug":"tensorfeed-ai-772dc03f","name":"TensorFeed Inference Provider Arbitrage Analytics","description":"Cross-provider arbitrage analytics for hosted inference. Per-model: cheapest_paid, most_expensive_paid, spread_usd, savings_pct, median_paid_blended, fastest_tps, cheapest_with_tps, free_tier_offers. Plus provider_rollup (cheapest_count, top_tps_count, value_score 0-100) and top_arbitrage models sorted by savings_pct desc. Pairs with the free /api/inference-providers matrix. The \"where to migrate workloads\" call.","url":"https://tensorfeed.ai/api/premium/inference-providers/arbitrage","method":"GET","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","properties":{"family":{"type":"string","description":"Case-insensitive substring filter on model family (Meta, DeepSeek, Mistral, Alibaba, Microsoft, ...)."},"min_savings_pct":{"type":"number","maximum":100,"minimum":0,"description":"Minimum savings_pct to include a model in the top_arbitrage array. Default 20."}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_FxJar2pXPjaFZYhOEY_Ko","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns cross-provider arbitrage analytics for hosted LLM inference, including cheapest/most expensive pricing, spread, savings percentage, TPS leaders, and top arbitrage opportunities per model.","exampleAgentPrompt":"Show me the current inference provider arbitrage breakdown — which models have the biggest price spread, who's cheapest and fastest, and what's the top savings opportunity if I migrate my workloads right now?","exampleUseCases":null,"resultDescription":"A structured dataset with per-model arbitrage metrics (cheapest_paid, most_expensive_paid, spread_usd, savings_pct, median_paid_blended, fastest_tps, cheapest_with_tps, free_tier_offers), provider_rollup stats (cheapest_count, top_tps_count, value_score 0-100), and a ranked list of top arbitrage models sorted by savings_pct descending.","failureModes":["Payment not provided or invalid x402 payment — returns 402 Payment Required","Upstream provider pricing data temporarily unavailable — returns 503 or stale data warning","Rate limit exceeded — returns 429 Too Many Requests","Network timeout if provider catalog is being refreshed"],"whenToPreferThis":"Choose this endpoint when you need a comprehensive, multi-dimensional cost-vs-performance comparison across all major inference providers in a single call. Ideal for workload migration decisions, budget optimization, or building dashboards that surface LLM pricing arbitrage. Pairs with the free /api/inference-providers matrix endpoint for the raw data layer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T18:47:13.442Z","isFirstParty":false}